Evidence map›Paper›PMID 28503137›Full record

ReviewFrontiers in behavioral neuroscience2017

Reward Network Immediate Early Gene Expression in Mood Disorders.

Claire E Manning, Elizabeth S Williams, Alfred J Robison

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in behavioral neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 39 citations in OpenAlex.

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  8. Multi-faceted regulation of CREB family transcription factors.Frontiers in molecular neuroscience · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Claire E ManningDepartment of Physiology, Michigan State UniversityEast Lansing, MI, USA.
Elizabeth S WilliamsDepartment of Physiology, Michigan State UniversityEast Lansing, MI, USA.
Alfred J RobisonDepartment of Physiology, Michigan State UniversityEast Lansing, MI, USA.
Michigan State University · US

Funding

Projection-specific gene expression in resilience to chronic stressR01MH111604 · NIMH · MICHIGAN STATE UNIVERSITY · PI Michelle Suzanne Mazei-Robison, ALFRED J ROBISON · 2016 to 2026
$4.9M
NIMH NIH HHS R01 MH111604
6 · The paper itself

Abstract

Over the past three decades, it has become clear that aberrant function of the network of interconnected brain regions responsible for reward processing and motivated behavior underlies a variety of mood disorders, including depression and anxiety. It is also clear that stress-induced changes in reward network activity underlying both normal and pathological behavior also cause changes in gene expression. Here, we attempt to define the reward circuitry and explore the known and potential contributions of activity-dependent changes in gene expression within this circuitry to stress-induced changes in behavior related to mood disorders, and contrast some of these effects with those induced by exposure to drugs of abuse. We focus on a series of immediate early genes regulated by stress within this circuitry and their connections, both well-explored and relatively novel, to circuit function and subsequent reward-related behaviors. We conclude that IEGs play a crucial role in stress-dependent remodeling of reward circuitry, and that they may serve as inroads to the molecular, cellular, and circuit-level mechanisms of mood disorder etiology and treatment.

Indexed as

accumbensCREBdepressionFosB/ΔFosBhippocampusimmediate early gene (IEG)mood disordersreward system

Identifiers

PMID28503137
PMCPMC5408019
OpenAlexW2610073786

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.